Triple

T27847019

Position	Surface form	Disambiguated ID	Type / Status
Subject	윤여정	`E703851`	entity
Predicate	수상부문	`P1619`	FINISHED
Object	아카데미 시상식 여우조연상 아카데미 시상식 여우조연상은 영화 예술과 과학 아카데미가 매년 조연으로 뛰어난 연기를 선보인 여배우에게 수여하는 세계적으로 권위 있는 영화상이다.	`E1792718`	NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini

Instruction

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Input

Phrase: 아카데미 시상식 여우조연상 | Statement: [윤여정, 수상부문, 아카데미 시상식 여우조연상]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: 아카데미 시상식 여우조연상
Triple: [윤여정, 수상부문, 아카데미 시상식 여우조연상]

Generated description

아카데미 시상식 여우조연상은 영화 예술과 과학 아카데미가 매년 조연으로 뛰어난 연기를 선보인 여배우에게 수여하는 세계적으로 권위 있는 영화상이다.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: 수상부문
Context triple: [윤여정, 수상부문, 아카데미 시상식 여우조연상]

A. awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
B. awardAspect
Indicates that one entity specifies a particular characteristic, category, or facet of an award associated with another entity.
C. awardType chosen
Indicates the specific category or kind of award associated with an entity or event.
D. awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
E. awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step	Stage	Batch ID	Status	When
creating	Elicitation	`batch_69ef840d9e3c819093615ebff4ec22be`	completed	April 27, 2026, 3:43 p.m.
NER	Named-entity recognition	`batch_69f63902060081909bb490327b0c16f2`	completed	May 2, 2026, 5:48 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12f73989c881909284c77eec14d780`	completed	May 24, 2026, 1:03 p.m.
NEDg	Description generation	`batch_6a12fb4a4a808190bc0821b2bc754da0`	completed	May 24, 2026, 1:21 p.m.
NED2	Entity disambiguation (via description)	`batch_6a12fd21fb2c8190b52459bd901c05a0`	completed	May 24, 2026, 1:29 p.m.
PD	Predicate disambiguation	`batch_69f6318ae6f08190b3f85f9201046a15`	completed	May 2, 2026, 5:16 p.m.

Created at: April 27, 2026, 6:08 p.m.